Data teams for school improvement
Open accessAbstract
The use of data for educational decision making has never been more prevalent. However, teachers and school leaders need support in data use. Support can be provided by means of professional development in the form of “data teams”. This study followed the functioning of 4 data teams over a period of 2 years, applying a qualitative case study design. The findings show that data use is not a linear process, and that teams go through different feedback loops to reach higher levels of depth of inquiry. The data team procedure is a promising way of enhancing data-based decision making in schools.
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Written from the paper’s full text.
TL;DR
This qualitative case study followed four Dutch secondary school data teams over two years as they implemented an eight-step data team procedure. It finds that data use was not linear, with teams moving through feedback loops, and that the procedure is a promising way to enhance data-based decision making in schools.
Key findings
- Data use was not a linear process: all teams returned to earlier steps, and three of four teams developed new knowledge through feedback loops; two teams (W and C) moved to action and outcomes.
- Team W reduced grade repetition from over 30% to 23% after implementing measures; Team C found student results did not significantly decline in percentages and fractions after repetition and differentiation measures.
- Depth of inquiry varied: Teams W, C, and G reached higher depth in final meetings, while Team B remained mostly at low/average depth, did not turn information into knowledge or action, and terminated after Meeting 6 (after 9 months).
- Attribution shifted in the more successful teams: Teams W and C moved from external to internal causes and took action at the level of their own functioning; Team G did not reach implementing measures related to its own functioning.
Methods
- Qualitative case study using a micro-process perspective; followed 4 data teams with members from 6 Dutch secondary schools over 2 years, focused on problems including grade repetition, mathematics achievement, and pre-vocational entrants’ performance.
- Data included audio-recorded 34 data team meetings (1–1.5 hr) and 24 interviews (1 hr) conducted about six months after teams started; transcripts were coded in Atlas.ti using the theoretical framework of data-based decision making, depth of inquiry, and attribution.
- Analysis used within-case summaries and cross-case matrix displays; interrater agreement was a Cohen’s Kappa of 0.76 on approximately 10% of observation transcripts, and researchers who did not facilitate the teams conducted the analyses.
Limitations
- Stated: the study is a small pilot in a specific context; the authors cannot conclude that improvements were caused by the data teams alone, and further research is needed on enabling factors, larger scale, and long-term effects.
- Stated/evident: data availability and quality were sometimes problematic, especially for Teams B and G; Team G had only six meetings within 1 year, and Team B terminated early, limiting comparison across teams.
- Evident: one researcher developed and facilitated the data team procedure, although analyses were conducted by non-facilitators; teams voluntarily approached the University of Twente, so selection and context may limit generalizability.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
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Claims the paper makes
0 of 65 cited sources checked · 0 supported · 0 flagged
- Findingown data
In Meetings 6 and 7, Team W discussed student motivation survey results at average depth.
“However, in Meetings 6 and 7 they continued to discuss the results of the student motivation survey at a more basic level (average depth).”
Quote in the paperNot a substantial claim - Findingreasoning
Team B did not turn any information into knowledge, action, or subsequent outcomes.
“Team B did not succeed in turning any information into knowledge, action, or subsequent outcomes, therefore.”
Quote in the paperNot a substantial claim - Findingown data
Even if teams get beyond analysis phase, they still need support in coming up with concrete actions.
“The results of our study show that even if teams get beyond the analysis phase (from data to information to knowledge), they still need support in coming up with concrete actions.”
Quote in the paperSubstantial claim - Findingown data
According to facilitator analyses, Team G grades of students entering 4th year from vocational lower level track did not differ significantly from grades of students already from middle level.
“According to the analyses by the facilitator, the grades of students entering the 4th year from the vocational lower level track did not differ significantly from the grades of students who already came from the middle level.”
Quote in the paperNot a substantial claim - Findingown data
Team W's grade repetition rate fell to 23% after its measures, down from over 30% in one year.
“The subsequent outcome they measured was that the number of students repeating a class turned out to be less than 30%, namely 23%.”
- Also stated in: § M1 M2 · plain
“After implementing their measures, the number of students repeating a class at Team W's school decreased in 1 year from over 30% to 23%.”
Quote in the paperSubstantial claim - Also stated in: § M1 M2 · plain
- Findingnone given
Availability of complete and reliable data was sometimes problematic, especially for Teams B and G.
“In addition, the availability of complete and reliable data was sometimes problematic, especially for Teams B and G.”
Quote in the paperNot a substantial claim - Findingown data
Team W's data showed that a considerable part of the failing problem was explained by failing students' absenteeism, at 15.6%.
“The collected data showed that a considerable part of the problem could be explained by failing students' absenteeism (15,6%).”
Quote in the paperNot a substantial claim - Findingnone given
Team G did develop new knowledge about their problem (conceptual use).
“However, the team did develop new knowledge with regard to their problem (conceptual use).”
Quote in the paperNot a substantial claim - Findingown data
Team C members mentioned causes at level of own functioning from start.
“Team members also mentioned causes at the level of their own functioning from the start:”
Quote in the paperNot a substantial claim - Findingown data
In Team W and Team C, conceptual use also led to instrumental data use.
“In the cases of Team W and Team C, conceptual use also led to instrumental data use.”
Quote in the paperSubstantial claim - Findingown data
Team W's mean depth increased to average in Meetings 3 and 4.
“In Meetings 3 and 4, the mean level increased towards average depth.”
Quote in the paperNot a substantial claim - Findingown data
Team W mainly pursued school-level hypotheses in early meetings.
“Team W mainly pursued hypotheses at the school level during the first meetings.”
Quote in the paperNot a substantial claim - Findingown data
Setting a purpose was problematic for Team B.
“Setting a purpose was problematic.”
Quote in the paperNot a substantial claim - Findingown data
Team W focused on grade repetition in the middle-level track, which averaged more than 30% per year.
“Team W decided to focus on the problem of students repeating grades in the middle-level track 1 : on average over 30% per year.”
Quote in the paperNot a substantial claim - Findingown data
Team C struggled to formulate a problem statement about low mathematics achievement.
“The team struggled with formulating a problem statement with regard to low mathematic achievement.”
Quote in the paperNot a substantial claim - Findingown data
In first meetings, average depth was rather low for all teams.
“In the first meetings, the average level of depth was rather low for all teams.”
Quote in the paperNot a substantial claim - Findingown data
Team W later discussed causes at student and own-functioning levels.
“In Meetings 5 and 6, possible causes at the level of students and their own functioning were discussed more.”
Quote in the paperNot a substantial claim - Findingown data
The study's findings indicate that the project's theory of action appears applicable in practice.
“The findings show that our theory of action seems to be applicable in practice, but also that teachers and school leaders go through different feedback loops, and that some are able to reach the action and outcomes phase, whereas others are not.”
Quote in the paperSubstantial claim - Findingown data
Teams needed much support from facilitator to make sense of available data.
“The teams needed much support from the facilitator to make sense of the available data.”
Quote in the paperNot a substantial claim - Findingown data
Team W's data showed that students who disregarded advice to continue at a lower level were not more likely to repeat a grade.
“However, the data showed that students who ignored the advice to continue secondary education at a lower level did not have a greater probability to repeat a grade.”
Quote in the paperSubstantial claim - Findingown data
Team B's process was terminated after Meeting 6 (after 9 months) due to priority issues and school leader changes.
“Their process was terminated after Meeting 6 (after 9 months), due to priority issues and school leader changes.”
Quote in the paperNot a substantial claim - Findingown data
Team W's curriculum coherence survey results showed weak connections between lower and upper levels in different departments, for example in content and assessments.
“The results showed that the connection between the lower and the upper level in the different departments was weak, for example, in terms of content and assessments.”
Quote in the paperNot a substantial claim - Findingown data
Team B's problem was not initially supported by teachers.
“This was not initially supported by the teachers, as one teacher stated:”
Quote in the paperNot a substantial claim - Findingown data
Teachers and school leaders in the data teams moved through different feedback loops.
“The findings show that our theory of action seems to be applicable in practice, but also that teachers and school leaders go through different feedback loops, and that some are able to reach the action and outcomes phase, whereas others are not.”
Quote in the paperSubstantial claim - Findingown data
Although teachers mentioned causes related to own functioning from start, they typically did not pursue these until later, if at all.
“Although teachers mentioned causes related to their own functioning from the start, they typically did not pursue these until later on in the process, if at all.”
Quote in the paperNot a substantial claim - Findingown data
In Meetings 9 and 10, Team W used teacher questionnaire results on curriculum coherence to improve education at high depth.
“Meetings 9 and 10 concerned the results of the teacher questionnaire regarding curriculum coherence and related measures (high depth) (i.e., using the knowledge gained by the data to improve education).”
Quote in the paperNot a substantial claim - Premisecitation
Conversations about relationships among teachers, students, and content occur more often in more successful and effective teams.
“Conversations about relationships between teachers, students, and content are more prevalent in more successful and effective teams”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Henry, 2012
- Premisecitation
Professional development delivered through data teams is a promising way to improve the effectiveness of data-based decision making.
“Professional development in the form of data teams is a promising way of enhancing the effectiveness of data-based decision making”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Earl & Katz, 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Wayman, Midgley, & Stringfield, 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Data use in data teams begins with a problem definition and goal, not with data.
“Data use in data teams starts with a purpose in the form of a problem definition and a related goal instead of with data.”
Quote in the paperSubstantial claim - Premisecitation
Using data effectively can improve how schools function by raising student achievement.
“Although effective data use can help improve the functioning of schools in terms of increased student achievement”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Observational research on data use is still quite scarce.
“the corpus of observational research [on data use] remains quite meager”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Little, 2012 source
- Premisecitation
Most decisions in schools are made from intuition and limited observations.
“A majority of decisions are based on intuition and limited observations”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ingram, Louis, & Schroeder, 2004 source
- Premisenone given
Data use is influenced by school organizational characteristics, user characteristics, and data characteristics.
“data use does not happen in isolation but is shaped by school organizational characteristics, user characteristics, and data characteristics.”
Quote in the paperSubstantial claim - Premisecitation
When new instructional methods do not fit students' needs, time and resources are wasted.
“valuable time and resources are lost with the implementation of new instructional methods, which, for example, do not coincide with the needs of the students”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Earl & Katz, 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
The data team procedure shares several features with action research.
“The data team procedure has several communalities with action research.”
Quote in the paperNot a substantial claim - Premisecitation
Professional development tends to be more effective when it occurs in professional learning communities.
“Several studies show that professional development is often more effective when it takes place in professional learning communities (PLCs).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Teams that achieve higher student learning gains use more higher-level thinking skills.
“Research shows that more successful teams (i.e., teams that achieve higher student learning gains) employ more higher level thinking skills”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Achinstein, 2002 source
- cites Stokes, 2001
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Collaboration among teachers can lead to greater teacher and student learning.
“These studies show that teacher collaboration can lead to increased teacher and student learning”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Borko, 2004 source
- cites Darling-Hammond, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Vescio, Ross, & Adams, 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Data teams include other features of effective professional development.
“In addition, data teams incorporate other characteristics of effective professional development”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationown data
Going through data team procedure was not a linear process.
“Going through the data team procedure was not a linear process.”
Quote in the paperSubstantial claim - Interpretationcitation
Corresponding to earlier findings, facilitator was crucial in all teams.
“Corresponding to earlier findings (Butler & Schnellert, 2012;Schnellert, Butler, & Higginson, 2008), the facilitator was crucial in all the teams.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Butler & Schnellert, 2012 source
- cites Schnellert, Butler, & Higginson, 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Starting with a problem and clear goals all members agree upon is essential.
“Furthermore, the study shows that starting with a problem and clear goals which all the data team members agree upon is essential.”
Quote in the paperSubstantial claim - Study design and conductown data
A systematized data collection approach consistent with the research questions was used to promote reliability.
“To promote reliability, we used a systematized approach to data collection, consistent with the research questions.”
Quote in the paperNot a substantial claim - Interpretationcitation
Results of data analysis undermined certain myths, which Weiss (1998) refers to as enlightenment function.
“The results of the data analysis have undermined certain myths, which Weiss (1998) refers to as the enlightenment function.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Weiss (1998) source
- Study design and conductnone given
Internal validity was strengthened by comparing respondents' experiences and beliefs in a matrix display.
“Internal validity was enhanced by comparing respondents' experiences and beliefs in a matrix display.”
Quote in the paperNot a substantial claim - Interpretationown data
The data team procedure is a promising way to enhance data-based decision making in schools.
“The data team procedure is a promising way of enhancing data-based decision making in schools.”
Quote in the paperSubstantial claim - Interpretationown data
Facilitator supporting activities (redirecting, helping data collection, providing ideas, summarizing, suggesting next steps) were important for all teams.
“In addition, redirecting the team to the current problem and hypotheses rather than jumping to conclusions, helping with the data collection plan, providing ideas for measures and summarizing progress so far, and providing suggestions for next steps were important supporting activities by the facilitator for all teams.”
Quote in the paperNot a substantial claim - Interpretationnone given
New knowledge can also be built on hypotheses that turn out false.
“An important insight from this study is that new knowledge can also be built on hypotheses that turn out to be false.”
Quote in the paperNot a substantial claim - Premisecitation
Data use is identified as a common core characteristic of high-performing schools.
“Data use is, for example, identified as a common core characteristic of high-performing schools (Duke, 2015;Ragland, Clubine, Constable, & Smith, 2002;Schaffer, Reynolds, & Stringfield, 2012;Snipes, Doolittle, & Herlihy, 2002).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
Teachers and school leaders notice and interpret available data under the influence of their expertise, cognitions, authority, and broader social setting.
“Teachers and school leaders notice and interpret the available data influenced by their expertise, cognitions, authority, and the broader social setting in which they operate (Spillane & Miele, 2007).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spillane & Miele, 2007 source
- Premisecitation
Many schools collect almost no systematic data beyond what is provided to them.
“Many schools make little productive use of data, gather almost no systematic data beyond what is given to them, and have had very little training or opportunities to gain practical experience with using data to inform classroom decision making (e.g., Wayman et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wayman et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The development and use of new knowledge is not automatic but develops over time.
“Moreover, the development and use of new knowledge is not an automatic outcome, but one that develops over time (Cosner, 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cosner, 2011 source
- Premisecitation
A focus on data use is crucial for long-term school improvement.
“Sustainability is important, because studies show that a focus on data use is crucial for long-term school improvement.”
Quote in the paperSubstantial claim - Premisecitation
Many schools have had very little training or opportunity to gain practical experience in using data to inform classroom decisions.
“Many schools make little productive use of data, gather almost no systematic data beyond what is given to them, and have had very little training or opportunities to gain practical experience with using data to inform classroom decision making (e.g., Wayman et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wayman et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Differences in how data teams functioned while implementing the data team procedure appear to be shaped by several factors.
“The difference in the functioning of data teams implementing the data team procedure appears to be influenced by several factors.”
Quote in the paperSubstantial claim - Premisecitation
Data do not objectively guide decisions by themselves.
“According to Spillane (2012), “data do not objectively guide decisions on their own” (p.114).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spillane (2012) source
- Premisecitation
Many schools make little productive use of data.
“Many schools make little productive use of data, gather almost no systematic data beyond what is given to them, and have had very little training or opportunities to gain practical experience with using data to inform classroom decision making (e.g., Wayman et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wayman et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 46
- The quote only partly states this claim. 8
- Classified as probably not a substantial claim. 29
May combine two claims.
Findingown dataTeam B remained far behind; most meetings focused on defining problem, criteria, personal experiences and opinions about solutions.
“Team B remained far behind: Most of their meetings were only focused on defining the problem and setting related criteria and personal experiences and opinions about possible solutions.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataWhen Team B moved to hypotheses and data collection, many proposed data were not available.
“When finally moving on to hypotheses and collecting data, many of the proposed data were not available.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOnly Team C and Team W actually investigated hypotheses related to own functioning and took action at this level.
“Only Team C and Team W, however, actually investigated hypotheses related to their own functioning, and consequently took action at this level.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTeam G had only six meetings within pilot study and did not reach level of turning knowledge into action and outcomes.
“They only had six meetings within the period of the pilot study, within which they did not reach the level of turning knowledge into action and outcomes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThree of four teams went through several feedback loops and developed new knowledge based on data.
“Three of the four teams went through several feedback loops and were able to develop new knowledge based on data.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataData do not always directly lead to action, but data challenged assumptions of data team members.
“Moreover, the data do not always directly lead to action, but the data have challenged the assumptions of the data team members.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataInterrater agreement was satisfactory, with Cohen's Kappa of 0.76.
“We calculated the interrater agreement and found a satisfying Cohen's Kappa of 0.76.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe study's findings show that data use is not linear and that teams move through different feedback loops to reach deeper levels of inquiry.
“The findings show that data use is not a linear process, and that teams go through different feedback loops to reach higher levels of depth of inquiry.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataTeam C's evaluation after a couple months showed students advanced considerably from pretest to first posttest, and results did not significantly decline from first to second posttest; later the paper states results did not significantly decline in percentages and fractions anymore.
“The evaluation after a couple of months showed the outcome that students advanced considerably from the pretest to the first posttest, and subsequently student results did not significantly decline from the first to the second posttest.”
- Also stated in: § M1 M2 · plain
“Team C implemented several measures to improve mathematic achievement, and the outcome was that student results did not significantly decline in percentages and fractions anymore.”
Quote in the paperSubstantial claim- Also stated in: § M1 M2 · plain
May combine two claims.
Findingown dataIn Team G's first two meetings, strong feeling that lower level intake in middle-level stream was problematic guided hypothesis formulation, and hypotheses were not supported by data.
“In the first two meetings, the strong feeling that the lower level intake in the middle-level stream was problematic guided the team in formulating hypotheses.”
- Also stated in: § Team G: depth of inquiry · plain
“Although these hypotheses were not supported by the data, several team members returned to this feeling in later meetings.”
Quote in the paperNot a substantial claim- Also stated in: § Team G: depth of inquiry · plain
May combine two claims. The quote only partly states this claim.
Findingown dataIn Team C's first two meetings, members talked about problem based on own experiences, not data; later meetings used more data and reached higher depth.
“In the first two meetings, team members talked about the problem based on their own experiences, and not based on data.”
- Also stated in: § Team C: depth of inquiry · plain
“From Meetings 6 to 11, more data were collected and used as a basis for drawing conclusions about the problem, hypotheses, and solutions.”
Quote in the paperNot a substantial claim- Also stated in: § Team C: depth of inquiry · plain
May combine two claims.
Findingown dataBy Meeting 4, Team W understood that the problem had multiple causes and that they needed to examine internal causes such as curriculum and their own functioning.
“The teachers reached two important understandings by the time of Meeting 4: (a) the problem was caused by more than one issue, and (b) they needed to start looking at internal causes, such as problems with their curriculum and their own functioning.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataMore advanced analyses by external facilitator showed Team C's scores dropped considerably.
“The more advanced analyses, carried out by the external facilitator, showed that the scores dropped considerably.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataWith help of facilitator, it became clear there were too few cases to draw meaningful conclusions for Team G.
“With help of the facilitator, it became clear that there were too few cases to draw meaningful conclusions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataTeam B mentioned external causes and sometimes its own functioning from the start.
“The teachers further mentioned many external possible causes for the problem, such as the difficulty of mathematics or the (starting) level of students.”
- Also stated in: § Team B: attribution · plain
“However, they sometimes also brought up their own functioning from the start.”
Quote in the paperNot a substantial claim- Also stated in: § Team B: attribution · plain
May combine two claims.
FindingreasoningTeam B's depth of inquiry was confined to lowest levels and typically did not exceed average.
“This means that depth of inquiry was confined to the lowest levels in the meetings, and typically did not exceed the”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.
Findingown dataThis result surprised Team G; their gut feeling was wrong and it was even the other way around.
“This came as a surprise to the team:”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTeam W's data showed that hypotheses about transfer-rule strictness and motivation were incorrect.
“Other hypotheses concerned strictness of transfer rules and motivation.Data showed that these hypotheses were incorrect.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTeam W's motivation survey showed that both failing and passing students needed help with planning and more teacher feedback on planning.
“However, the motivation survey results showed that students (both in the failing and passing group) needed help in planning and needed more feedback from teachers on their planning activities.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn Meeting 5, Team W compared failing and passing students, related answers to questions, discussed its own functioning, and developed new knowledge from data at high depth.
“In Meeting 5, the team compared the results of failing and passing students and tried to relate the answers to different questions; also discussing their own functioning in relation to the students' opinions about this.The team was developing new knowledge based on the collected data (high depth).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.
Findingown dataTeam C's data related to suspected problem were not readily available, and teachers had to construct and coordinate tests.
“One of the challenges was that the data related to the suspected problem were not readily available, and the teachers had to first construct and coordinate the tests to find out more about the problem.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn its first meetings, Team W mainly considered hypotheses at the school level, though some hypotheses about student level and their own functioning were also considered.
“Although some hypotheses about their own functioning and at the level of students were considered, the team mainly focused on hypotheses at the school level in the first meetings.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTeam B acknowledged the problem only as late as the fifth meeting, and not convincingly or explicitly.
“After extensive discussion, the problem was finally, although not convincingly or explicitly, acknowledged as late as the fifth meeting.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTeams generally started discussing problem from own experience, investigating more external hypotheses.
“With regard to purpose, the teams generally started discussing the problem from their own experience, investigating the more external hypotheses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataIn Meeting 8, Team W found absenteeism explained a substantial part of the problem and concluded absenteeism measures should improve.
“In Meeting 8, the team started with discussing the absenteeism results.It turned out that this explained a substantial part of the problem, and that the school's absenteeism measures should be improved.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataTeam W found that teachers did not regularly check homework.
“Additionally, it seemed that teachers did not check homework regularly.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
FindingreasoningBy final meetings, Team C teachers had structurally implemented repetition in lessons for fractions and percentages and used online programs to differentiate instruction.
“By the time of the final meetings, the teachers had structurally implemented the repetition measure in their lessons, both for fractions and percentages, and were using the online programs to differentiate instruction.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTeam W's depth of inquiry was lowest in Meetings 1 and 2, focused on personal experiences and anecdotes.
“Depth of inquiry was nearly all the time confined to the lowest levels in Meetings 1 and 2: The discussion focused mostly on own personal experiences and anecdotes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn Team W, members generally contributed actively, asked clarifying questions, and complemented one another.
“In general, the different members of the team actively contributed to the discussions, asked each other clarifying questions, and complemented each other.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTeams W and C managed to successfully complete Steps 1 to 8 within pilot, create new knowledge, and base related decisions on data.
“Teams W and C managed to successfully complete Steps 1 to 8 within the pilot study period, create new knowledge, and base related decisions on data.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSome data teams reached the action and outcomes phase and were able to use data to make improvements, while others did not.
“The findings show that our theory of action seems to be applicable in practice, but also that teachers and school leaders go through different feedback loops, and that some are able to reach the action and outcomes phase, whereas others are not.”
- Also stated in: § Implications for practice and recommendations for further research · plain
“Some teams were able to engage and use data to make improvements, whereas others were not.”
Quote in the paperSubstantial claim- Also stated in: § Implications for practice and recommendations for further research · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationData use for educational decision making has become more prevalent than ever.
“The use of data for educational decision making has never been more prevalent”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 2010, only 20% of Dutch secondary schools applied data use according to the Dutch Inspectorate.
“In 2010, only 20% of the Dutch secondary schools applied data use according to the Dutch Inspectorate”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Inspectie van het Onderwijs, 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationIn more successful teams, teachers examine underlying assumptions, question their practice, revise their ideas about teaching and learning, and change their practice.
“In these teams, teachers explore underlying assumptions, question their own practice, revise their conceptions of teaching and learning, and adjust their practice accordingly.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningLooking for external causes does not solve the problem because teachers often cannot change those causes.
“Moreover, it does not lead to solving the problem as often there is nothing that the teachers can do about this external cause.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Dutch Inspectorate increasingly holds schools accountable for using data to improve education quality.
“the Dutch Inspectorate increasingly holds schools accountable for making use of data to improve the quality of their education”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Verbeek & Odenthal, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe data use theory of action was built from analyses of several data use models and frameworks.
“Our data use theory of action (Schildkamp & Poortman, 2015, p. 5) is based on the analyses of several data use models and frameworks”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationData teams focus on professional development in data use and school improvement, measured ultimately by student achievement outcomes, rather than on teachers building their own practical theories.
“The focus of data teams, however, is on professional development specifically in data use and school improvement, ultimately measured in student achievement outcomes; rather than on teachers building their own practical theories of teaching”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Whitehead & McNiff, 2006 source
May combine two claims.
PremisecitationLooking for causes outside the school can help teams learn to use data, but such assumptions are often wrong.
“Investigating causes outside the school contributes to the learning process (learning how to use data), but often these assumptions are incorrect”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ingram et al., 2004 source
May combine two claims.
PremisecitationTeachers often do not use data as well as they could, or do not use it at all.
“teachers often do not use data to its best effect, if at all”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable).
PremisecitationA qualitative descriptive approach is best for describing how data teams function in their context.
“A qualitative, descriptive approach is most useful to describe the process of the functioning of data teams in its context”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Krathwohl, 1998
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisereasoningData-based decision making is complex and non-linear and involves multiple feedback loops.
“The framework acknowledges that data-based decision making is a complex and non-linear process, involving several feedback loops.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCollaboration enables teachers to learn from one another about data use and to exchange ideas and strategies.
“Collaboration helps teachers to learn from each other how to use data, and allows for a fertile exchange of ideas and strategies”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecording whole conversations gives more depth and specificity than using observation protocols or field notes alone.
“Capturing the entire conversations in the meetings provides much more depth and specificity than we would achieve using observation protocols or field notes alone”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Little, 2012 source
May combine two claims.
PremisecitationThe inquiry element of professional learning communities is crucial because it can improve instruction and thereby raise student achievement.
“According to Ball and Cohen (1999), the inquiry component of PLCs is crucial as this can improve instruction, which in turn can lead to increased student achievement.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ball & Cohen, 1999
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAction research is often organized around a cycle of inquiry and can be conducted collaboratively in a professional learning community.
“Action research is often organized around a certain cycle of inquiry (Johnson, 2003) and can also be conducted collaboratively in a PLC (Capobianco & Feldman, 2010).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Johnson, 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Capobianco & Feldman, 2010 source
Classified as probably not a substantial claim.
PremisecitationHow people attribute the cause of a problem has behavioral consequences for improvement actions based on data.
“How individuals attribute causes of a problem has behavioral consequences (Weiner, 2010) in terms of possible improvement actions based on data.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Weiner, 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe Ministry of Education aims for at least 90% of primary and secondary schools to apply data use by 2018.
“The policy aim of the Ministry of Education is that by 2018, at least 90% of the primary and secondary schools apply data use.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDutch schools can use several data sources to improve education, including intake, transfer, school leaver, inspection, self-evaluation, assessment, examination, and questionnaire data.
“Dutch schools can use several data sources to improve their education, such as data on intake, transfer, and school leavers; school inspection and selfevaluation data; assessment and examination results; and student and parent questionnaire data”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schildkamp & Kuiper, 2010 source
May combine two claims.
PremisecitationData teams either return to new hypotheses when a hypothesis is wrong or act on the data when a hypothesis is right.
“Data teams can take two possible actions: The hypothesis is incorrect and the action is to go back to formulating new hypotheses (a feedback loop is created), or the hypothesis is correct and the data team takes action based on the data.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Marsh, Pane, & Hamilton, 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Marsh, 2012 source
Classified as probably not a substantial claim.
PremisecitationIn the data use theory of action, data and people interact within a context to produce decisions about what action to take.
“the interaction between data and people, in a certain context, results in decisions regarding what action to take.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningData teams check data validity and reliability; if data are not valid or reliable, they collect more data and create a feedback loop.
“The team needs to filter the data (e.g., are the data valid and reliable; if not, additional data need to be collected and a feedback loop is created)”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningResearchers who did not facilitate the data teams conducted the analyses to support objectivity.
“For objectivity reasons, the researchers who did not facilitate the data team conducted the analyses.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationcitationThis study gave insight into what occurs when teachers work with data in data teams, opening up the collaborative inquiry process in professional learning communities.
“This study provided more insight into what happens when teachers engage with data in data teams (opening the “black box” of the collaborative inquiry in PLCs; Butler & Schnellert, 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Butler & Schnellert, 2012 source
May combine two claims.
InterpretationreasoningThe paper cannot conclude improvements were caused by data teams alone, but it is likely data teams contributed.
“Although we cannot conclude that these improvements were caused by the work of the data teams alone, it is likely that the work of the data teams contributed to the improvements.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenTeam W's school registration data were considered sufficiently reliable and valid.
“The team collected data from their own school registration system, which were considered sufficiently reliable and valid.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Interpretationown dataTeam C's wrong hypotheses about primary schools and secondary advice led to new knowledge about what did not cause their problem (conceptual data use).
“However, this led to new knowledge with regard to what did not cause their specific problem (conceptual data use).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll data team meetings and interviews were audio-recorded, which allowed thorough analysis.
“All data team meetings and interviews were audiorecorded, allowing for thorough analysis of the data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe instruments were based on the theoretical framework and existing instruments.
“Also, the instruments were based on our theoretical framework and existing instruments.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataTeam W and C actions led to desired outcomes: they solved their educational problem and increased student achievement.
“Moreover, these actions also led to the desired outcomes: These teams were able to solve their educational problem and increase student achievement”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAs stated by Marsh and Farrell (2015), data team procedures seem promising capacity building interventions.
“As stated by Marsh and Farrell (2015), data team procedures seem to be promising capacity building interventions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Marsh and Farrell (2015) source
Classified as probably not a substantial claim.
Study design and conductnone givenTwo researchers coded about 10% of the same observation transcripts.
“Finally, two researchers coded approximately 10% of the same observation transcripts.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationExternal validity was strengthened by providing case-specific and cross-case thick descriptions and by describing congruence with the theoretical framework.
“We enhanced external validity in terms of analytical generalization by providing casespecific and cross-case thick descriptions (also including citations of respondents), and describing the congruence with the theoretical framework”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Poortman & Schildkamp, 2012 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe coding scheme was refined after an initial sample was coded, through researcher discussions about the scheme's applicability and the meaning of the data.
“After initially coding a sample of the data, the coding scheme was refined, based on discussions between the researchers about the applicability of the scheme and the meaning of the data.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationOrganizational context, the characteristics of available data and data systems, macrolevel policy influence, and microlevel personal characteristics of data users all interact in data use.
“We should therefore take into account the organizational context in which data use is taking place, but also the characteristics of the data and data systems available, as well as the influence of policy on data use at the macrolevel, and personal characteristics of the individual data users at the microlevel, as these all interact (Coburn & Turner, 2011, 2012;Marsh, 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Coburn & Turner, 2011, 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Marsh, 2012 source
Classified as probably not a substantial claim.
PremisecitationContextual factors may explain differences in the practices of different teams.
“As stated by Horn and Little (2010), contextual factors may account for the differences in the practices of different teams.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Horn and Little (2010) source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationLong-term school improvement requires focus, continuous planning, and inquiry into the causes of problems using data.
“Duke (2015) found that long-term school improvement requires focus, continuous planning, and inquiry into the causes of problems (e.g., low performance) using data.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Duke (2015) source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThese contextual factors may include school organizational characteristics, such as the school leader's role, and whether teams have a measurable and shared goal.
“These may refer to school organizational characteristics, such as the role of the school leader (e.g., facilitation, encouragement) (Knapp, Copland, & Swinnerton, 2007;Knapp, Swinnerton, Copland, & Monpas-Huber, 2006), and the degree to which teams have a measurable and shared goal (Datnow et al., 2007;Earl & Katz, 2006;Kerr et al., 2006;Wayman & Stringfield, 2006;Wohlstetter et al., 2008).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Knapp, Copland, & Swinnerton, 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Datnow et al., 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Earl & Katz, 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The paper relies on this without support.
Teachers and school leaders need support in using data.
“However, teachers and school leaders need support in data use.”
The paper relies on this without support.
School leaders' participation in a data team helps ensure that the action plan is implemented at the end.
“Furthermore, their participation will help ensure implementation of the action plan at the end of the process.”
The paper relies on this without support.
Teachers have a central role in achieving sustainable and significant improvement in teaching and learning.
“Teachers have a central role in realizing sustainable and significant improvement of teaching and learning practices.”
The paper relies on this without support.
It is important that teachers at some stage take responsibility for their students' learning and begin to examine internal causes.
“It is important that at some stage teachers take the responsibility for their students' learning and start to look at internal causes (internal attribution).”
The paper relies on this without support.
More knowledge is needed on how to support schools in using data.
“However, we need more knowledge on how to support schools in the use of data.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The ability of a process or system to continue functioning effectively over a long period of time enables long-term school improvement.
“The ability of a process or system to continue functioning effectively over a long period of time enables long-term school improvement (Schildkamp et al., 2016).”
From Using information and communication technology (ICT)-based data systems to support teacher data-driven decision-making: Insights from the literature (2013–2023) (2024) · cites this paper as Schildkamp et al., 2016
The Implications for practice section says sustainability matters because a sustained focus on data use is crucial for long-term school improvement. It does not establish the broader claim that any process or system that continues functioning effectively enables long-term improvement; it also says the long-term effects of data teams need further study. No page number is available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe outcomes of the sense-making process can lead to different types of improvement actions, including curriculum changes, changes in instruction, and changes to assessment practices such as more formative assessments.
“The outcomes of the sense-making process described above can lead to di ff erent types of improvement actions (see Figure 1). For example, it may lead to curriculum changes and to changes in instruction. It may also lead to changes to the assessment practices in a school, such as the implementation of more formative assessments instead of overreliance on summative assessment”
From Data-based decision-making for school improvement: Research insights and gaps (2019) · cites this paper as Schildkamp, Poortman, and Handelzalts 2016
The paper’s data-team framework says that interpreting data can lead to improvement measures. In “Team W: data-based decision making” (page unavailable), it describes work on curriculum coherence and assessment alignment; in “Team B: attribution” (page unavailable), it describes changes to lessons and differentiated instruction. Our copy does not support the specific example of implementing more formative assessments instead of relying on summative assessment. (LLM, conf=0.86)
Experimental — accuracy not yet measuredFor teachers and school leaders to implement an action plan based on data, they need to connect the data to their own functioning.
“in order for this to happen, we argue that there is a need for them to connect the data to their own functioning (Schildkamp, Poortman, and Handelzalts 2016).”
From Data-based decision-making for school improvement: Research insights and gaps (2019) · cites this paper as Schildkamp, Poortman, and Handelzalts 2016
Key drawbacks of the definitional spectrum include its lack of current utility in school districts and research studies, inability to provide information about the etiology or function of a school attendance problem, and lack of association with prevention or intervention protocols for this population.
“Key drawbacks of the definitional spectrum include its lack of current utility in school districts and research studies, inability to provide information about the etiology or function of a school attendance problem, and lack of association with prevention or intervention protocols for this population (Schildkamp et al., 2016; Balfanz and Byrnes, 2018).”
From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as Schildkamp et al., 2016
The Team W: data-based decision making section discusses student absenteeism as a possible contributor to failing grades and describes measures taken in response. It does not assess a definitional spectrum for school attendance problems. Searches for that spectrum, attendance definitions, etiology, and prevention or intervention protocols found no passage addressing the claimed drawbacks. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Citation year disagrees with the reference list
MinorThe text cites the work by Wayman, Midgley, and Stringfield as published in 2006, but the matching reference lists 2007.
“(Earl & Katz, 2006;Wayman, Midgley, & Stringfield, 2006)”
“65. Wayman, J. C., Midgley, S., & Stringfield, S. (2007). Leadership for data-based decision-making: Collaborative data teams.”
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School performance feedback systems in the USA and in The Netherlands: a comparison
Schildkamp, K., & Teddlie, C. (2008) · Educational Research and Evaluation · doi:10.1080/13803610802048874 · Cited by 76 · see citing works
Self-citation<scp>chapter</scp>3 Evidence in Practice: A Framing of the Terrain
Spillane, J. P., & Miele, D. B. (2007) · Yearbook of the National Society for the Study of Education · doi:10.1111/j.1744-7984.2007.00097.x · Cited by 64 · see citing works
van Veen, K., Zwart, R. C., Meirink, J. A., & Verloop, N. (2010) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 64 · see citing works
Nelson, T. H., & Slavit, D. (2007) · Journal of In-Service Education · doi:10.1080/13674580601157620 · Cited by 59 · see citing works
Conclusions and a Data Use Framework
Schildkamp, K., & Lai, M. K. (2012) · Springer eBooks · doi:10.1007/978-94-007-4816-3_10 · Cited by 57 · see citing works
Self-citationFrom “Intuition”- to “Data”-based Decision Making in Dutch Secondary Schools?
Schildkamp, K., & Ehren, M. (2012) · Springer eBooks · doi:10.1007/978-94-007-4816-3_4 · Cited by 55 · see citing works
Self-citationRepositioning Teacher Action Research in Science Teacher Education
Capobianco, B. M., & Feldman, A. (2010) · Journal of Science Teacher Education · doi:10.1007/s10972-010-9219-7 · Cited by 49 · see citing works
chapter 4 Understanding the Promise and Dynamics of Data‐Informed Leadership
Knapp, M. S., Copland, M. A., & Swinnerton, J. A. (2007) · Yearbook of the National Society for the Study of Education · doi:10.1111/j.1744-7984.2007.00098.x · Cited by 47 · see citing works
Understanding the Promise and Dynamics of Data-Informed Leadership
Knapp, M. S., Copland, M. A., & Swinnerton, J. A. (2007) · Teachers College Record The Voice of Scholarship in Education · Cited by 46 · see citing works
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Evidence in Practice: A Framing of the Terrain
Spillane, J. P., & Miele, D. B. (2007) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146810710901303 · Cited by 36 · see citing works
Schaffer, E., Reynolds, D., & Stringfield, S. (2012) · Journal of Education for Students Placed at Risk (JESPAR) · doi:10.1080/10824669.2012.637188 · Cited by 31 · see citing works
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Implementation of a Data Initiative in the NCLB Era
Wayman, J. C., Spikes, D. D., & Volonnino, M. R. (2012) · Springer eBooks · doi:10.1007/978-94-007-4816-3_8 · Cited by 24 · see citing works
Leadership for Low-Performing Schools: A Step-by-Step Guide to the School Turnaround Process
Duke, D. L. (2015) · doi:10.5771/9781475810264 · Cited by 24 · see citing works
Learner-centered leadership: research, policy, and practice
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(2012) · ProQuest LLC eBooks · Cited by 9 · see citing works
Collaborative data teams for school improvement: Work and sustainability
Schildkamp, K., & Handelzalts, A. (2012) · University of Twente Research Information · Cited by 1 · see citing works
Self-citationLeadership for Evidence-Informed Conversations
Earl, L. M. (2009) · Professional Learning Conversations: Challenges in Using Evidence for Improvement · doi:10.1007/978-1-4020-6917-8_4
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Sorted by citations
Data-based decision-making for school improvement: Research insights and gaps
Schildkamp, K. (2019) · Educational Research · doi:10.1080/00131881.2019.1625716 · Cited by 347 · see citing works
Self-citationEditorial: the datafication of education
Jarke, J., & Breiter, A. (2019) · Learning Media and Technology · doi:10.1080/17439884.2019.1573833 · Cited by 286 · see citing works
Misconceptions about data-based decision making in education: An exploration of the literature
Mandinach, E. B., & Schildkamp, K. (2021) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2020.100842 · Cited by 209 · see citing works
“Educators sometimes fail to conduct the right types of analysis, and even more often they have difficulties with connecting the data to their own instruction in the classroom and translating the data into an action plan (e.g., Brown, Schildkamp, & Hubers, 2017; Schildkamp & Kuiper, 2010; Schildkamp & Poortman, 2015; S…”
BackgroundMethodInfluentialSelf-citationFactors Influencing the Functioning of Data Teams
Schildkamp, K., & Poortman, C. (2015) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1177/016146811511700403 · Cited by 185 · see citing works
“The data team members go back and forward between the steps (see also Figure 1) (Schildkamp, Handelzalts, & Poortman, 2012; Schildkamp & Ehren, 2012, p. 56–57): 1.”
BackgroundSelf-citationData-based Decision Making in Education
Schildkamp, K., Lai, M. K., & Earl, L. M. (2012) · Springer eBooks · doi:10.1007/978-94-007-4816-3 · Cited by 195 · see citing works
Self-citationData-based Decision Making: An Overview
Lai, M. K., & Schildkamp, K. (2013) · Data-based Decision Making in Education · doi:10.1007/978-94-007-4816-3_2 · Cited by 167 · see citing works
Self-citationExploring data use practices around Europe: Identifying enablers and barriers
Schildkamp, K., Karbautzki, L., & Vanhoof, J. (2014) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2013.10.007 · Cited by 168 · see citing works
Self-citationWang, Y. (2020) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2020.100872 · Cited by 196 · see citing works
Prenger, R., Poortman, C. L., & Handelzalts, A. (2017) · Teaching and Teacher Education · doi:10.1016/j.tate.2017.08.014 · Cited by 154 · see citing works
Self-citationResearch on Continuous Improvement: Exploring the Complexities of Managing Educational Change
Yurkofsky, M. M., Peterson, A., Mehta, J. D., Horwitz-Willis, R., & Frumin, K. M. (2020) · Review of Research in Education · doi:10.3102/0091732x20907363 · Cited by 148 · see citing works
“…local methods can energize teachers around change; can be adapted to meet the needs, interests, and goals of individual teachers; and can produce high commitment and thoughtful reflection upon practice (Copland, 2003; Goodnough, 2010; Schildkamp et al., 2016; Scribner et al., 1999; Zeichner, 2003).”
BackgroundKearney, C. A., Gonzálvez, C., Graczyk, P. A., & Fornander, M. J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02222 · Cited by 130 · see citing works
Combining the best of two worlds: a conceptual proposal for evidence-informed school improvement
Brown, C., Schildkamp, K., & Hubers, M. D. (2017) · Educational Research · doi:10.1080/00131881.2017.1304327 · Cited by 127 · see citing works
“The invariable result of doing so is a shift from ‘others should’ to ‘what can we do to promote learning in our school’ (Schildkamp and Poortman 2015; Schildkamp et al. 2016; Timperley, Kaser, and Halbert 2014).”
BackgroundSelf-citationPrenger, R., & Schildkamp, K. (2018) · Educational Psychology · doi:10.1080/01443410.2018.1426834 · Cited by 101 · see citing works
Self-citationAgasisti, T., & Bowers, A. J. (2017) · Handbook of Contemporary Education Economics · doi:10.4337/9781785369070.00014 · Cited by 83 · see citing works
How Do Teachers Make Sense of Data in the Context of High-Stakes Decision Making?
Vanlommel, K., & Schildkamp, K. (2019) · American Educational Research Journal · doi:10.3102/0002831218803891 · Cited by 79 · see citing works
Self-citationFarrell, C. C., & Marsh, J. A. (2016) · Teaching and Teacher Education · doi:10.1016/j.tate.2016.07.010 · Cited by 72 · see citing works
Effects of student feedback as a method of self-evaluating the quality of teaching
Gärtner, H. (2014) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2014.04.003 · Cited by 66 · see citing works
van Leeuwen, A. (2018) · Educational Technology Research and Development · doi:10.1007/s11423-018-09639-y · Cited by 70 · see citing works
Differentiated instruction in a data-based decision-making context
Faber, J. M., Glas, C. A. W., & Visscher, A. J. (2017) · School Effectiveness and School Improvement · doi:10.1080/09243453.2017.1366342 · Cited by 73 · see citing works
Effects of a data use intervention on educators’ use of knowledge and skills
Ebbeler, J., Poortman, C. L., Schildkamp, K., & Pieters, J. M. (2016) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2015.11.002 · Cited by 53 · see citing works
Self-citationHubers, M. D., Moolenaar, N. M., Schildkamp, K., Daly, A. J., Handelzalts, A., & Pieters, J. M. (2017) · Research Papers in Education · doi:10.1080/02671522.2017.1286682 · Cited by 51 · see citing works
“The data team intervention is one such programme (Schildkamp, Poortman, and Handelzalts 2016).”
BackgroundInfluentialSelf-citationKNOWING THE (DATAFIED) STUDENT: THE PRODUCTION OF THE STUDENT SUBJECT THROUGH SCHOOL DATA
Selwyn, N., Pangrazio, L., & Cumbo, B. J. (2021) · British Journal of Educational Studies · doi:10.1080/00071005.2021.1925085 · Cited by 49 · see citing works
“Alongside a thriving literature that promotes the benefits of ‘data-driven’ teaching (e.g. Madinach, 2012; Schildkamp et al., 2016), is a burgeoning critique amongst policy scholars on data-led governance of education through standardised measures – what Grek (2009) terms ‘governing by numbers’…”
BackgroundBowers, A. J. (2016) · Journal of Research on Leadership Education · doi:10.1177/1942775116659462 · Cited by 52 · see citing works
Adopting and adapting: school leaders in the age of data-informed decision making
Young, C., McNamara, G., Brown, M., & O’Hara, J. (2018) · Educational Assessment Evaluation and Accountability · doi:10.1007/s11092-018-9278-4 · Cited by 49 · see citing works
Reeves, T. D., & Chiang, J. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.03.004 · Cited by 45 · see citing works
Reeves, T. D., & Chiang, J. (2018) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2018.09.006 · Cited by 44 · see citing works
Yurkofsky, M. M. (2021) · Educational Administration Quarterly · doi:10.1177/0013161x211053597 · Cited by 43 · see citing works
“Although the term “continuous improvement” has been taken up in a variety of contexts and has meant different things, I use it here to encompass a growing movement of reforms that focus change efforts on local problems, empower practitioners to take an active role in improvement, emphasize continuous iteration based o…”
BackgroundInfluentialGasse, R. V., Vanlommel, K., Vanhoof, J., & Petegem, P. V. (2016) · Teaching and Teacher Education · doi:10.1016/j.tate.2016.07.004 · Cited by 44 · see citing works
When Data Teams Struggle: Learning from Less Successful Data Use Efforts
Schildkamp, K., & Datnow, A. (2020) · Leadership and Policy in Schools · doi:10.1080/15700763.2020.1734630 · Cited by 47 · see citing works
“Teams that apply lower levels of depth of inquiry focus more on telling information, re-telling, describing, and storytelling (Henry, 2012; Schildkamp, Poortman, & Handelzalts, 2016).”
BackgroundSelf-citationThe impact of collaboration on teachers’ individual data use
Gasse, R. V., Vanlommel, K., Vanhoof, J., & Petegem, P. V. (2017) · School Effectiveness and School Improvement · doi:10.1080/09243453.2017.1321555 · Cited by 42 · see citing works
The quest for sustained data use: Developing organizational routines
Hubers, M. D., Schildkamp, K., Poortman, C. L., & Pieters, J. M. (2017) · Teaching and Teacher Education · doi:10.1016/j.tate.2017.07.007 · Cited by 41 · see citing works
Self-citationFacilitating collaborative reflective inquiry amongst teachers: What do we currently know?
Brown, C., Poortman, C. L., Gray, H., Ophoff, J. G., & Wharf, M. M. (2020) · International Journal of Educational Research · doi:10.1016/j.ijer.2020.101695 · Cited by 50 · see citing works
“…of inquiry ’ ; with depth of inquiry defined as the degree to which practitioners employ higher level thinking skills when engaged in actions such as analysis, synthesis, goal setting, and reflection (Opfer & Pedder, 2011; Schildkamp & Datnow, 2020; Schildkamp, Poortman, & Handelzalts, 2016).”
BackgroundSelf-citationIrish teachers, starting on a journey of data use for school self-evaluation
O’Brien, S., McNamara, G., O’Hara, J., & Brown, M. (2018) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2018.11.001 · Cited by 40 · see citing works
Abrams, L. M., Varier, D., & Mehdi, T. (2021) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2020.100868 · Cited by 36 · see citing works
Collaborative inquiry networks: the challenge to promote network leadership capacities in Chile
Pino-Yancovic, M., & Ahumada, L. (2020) · School Leadership and Management · doi:10.1080/13632434.2020.1716325 · Cited by 35 · see citing works
Principals’ boundary activities and school violence: The mediating role of school management teams
Benoliel, P. S. (2018) · Educational Management Administration & Leadership · doi:10.1177/1741143218802592 · Cited by 33 · see citing works
Opening the black box: knowledge creation in data teams
Hubers, M. D., Poortman, C. L., Schildkamp, K., Pieters, J. M., & Handelzalts, A. (2016) · Journal of Professional Capital and Community · doi:10.1108/jpcc-07-2015-0003 · Cited by 32 · see citing works
“The data team procedure Data teams, in the context of this study, are professional learning communities which consist of six to eight people at the same school: a school leader, several teachers and, if possible, the quality manager, who has access to the data (Schildkamp et al., 2015).”
BackgroundInfluentialSelf-citationO’Brien, S., McNamara, G., O’Hara, J., & Brown, M. (2020) · Professional Development in Education · doi:10.1080/19415257.2020.1720778 · Cited by 33 · see citing works
Vanlommel, K., Gasse, R. V., Vanhoof, J., & Petegem, P. V. (2018) · Teaching and Teacher Education · doi:10.1016/j.tate.2017.12.011 · Cited by 33 · see citing works
Student Feedback on Teaching in Schools
Rollett, W., Bijlsma, H. J. E., & Röhl, S. (2021) · Springer eBooks · doi:10.1007/978-3-030-75150-0 · Cited by 35 · see citing works
Supporting evidence use in networked professional learning: the role of the middle leader
LaPointe-McEwan, D., DeLuca, C., & Klinger, D. A. (2017) · Educational Research · doi:10.1080/00131881.2017.1304346 · Cited by 30 · see citing works
“…cases, facilitators receive targeted support in specific content areas and in facilitation strategies; however, facilitators less consistently receive support in developing their evidence literacy skills (Avalos 2011; Kennedy et al. 2011; Schildkamp, Poortman, and Handelzalts 2016; Timperley 2011).”
BackgroundResultThe Seal of Biliteracy: Successes and challenges to implementation
Davin, K. J., Heineke, A. J., & Egnatz, L. (2018) · Foreign Language Annals · doi:10.1111/flan.12336 · Cited by 30 · see citing works
Data (il)literacy education as a hidden curriculum of the datafication of education
Mertala, P. (2020) · Journal of Media Literacy Education · doi:10.23860/jmle-2020-12-3-4 · Cited by 31 · see citing works
Exploring the potential of collaborative teaching nested within professional learning networks
Schnellert, L., & Butler, D. L. (2020) · Journal of Professional Capital and Community · doi:10.1108/jpcc-06-2020-0037 · Cited by 35 · see citing works
Light touch, heavy hand: principals and data-use PLCs
Huguet, A., Farrell, C. C., & Marsh, J. A. (2017) · Journal of Educational Administration · doi:10.1108/jea-09-2016-0101 · Cited by 29 · see citing works
Is it personal? Teacher’s personality and the principal’s role in professional learning communities
Benoliel, P. S., & Schechter, C. (2017) · Improving Schools · doi:10.1177/1365480217703725 · Cited by 27 · see citing works
“However, knowledge sharing and relationship building within PLCs require individuals with robust social skills and the deployment of effective relational and interpersonal competencies (Schildkamp et al., 2015).”
BackgroundKeuning, T., van Geel, M. J. M., Visscher, A. J., & Fox, J. (2019) · Journal of Educational Measurement · doi:10.1111/jedm.12236 · Cited by 27 · see citing works
Gasse, R. V., Vanlommel, K., Vanhoof, J., & Petegem, P. V. (2019) · Teaching and Teacher Education · doi:10.1016/j.tate.2019.102989 · Cited by 26 · see citing works
Ansyari, M. F., Groot, W., & De Witte, K. (2020) · Educational Research Review · doi:10.1016/j.edurev.2020.100362 · Cited by 26 · see citing works
“Five other studies had two-year data use interventions (Poortman & Schildkamp, 2016; Staman et al., 2017; van der Scheer & Visscher, 2016; van Geel et al., 2016, 2017).”
BackgroundMethodInfluentialExploring the factors influencing teachers’ instructional data use with electronic data systems
Luo, J., Wang, M., & Yu, S. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104631 · Cited by 32 · see citing works
Data in Schools: (Changing) Practices and Blind Spots at a Glance
Krein, U., & Schiefner-Rohs, M. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.672666 · Cited by 25 · see citing works
“…and organized to represent some aspect of schooling, ’ for example, assessment data, structured observation data, and student survey results ” (Prenger and Schildkamp, 2018, p. 734; also Ebbeler et al., 2016; Vanlommel and Schildkamp, 2018; Schildkamp et al., 2017; Schildkamp et al., 2015).”
BackgroundSchneider, B., Reilly, J., & Radu, I. W. (2020) · Journal for STEM Education Research · doi:10.1007/s41979-020-00027-x · Cited by 24 · see citing works
“…teachers in pushes for DDDM and build their capacity for parsing data have become increasingly present in educational leadership literature (Marsh and Farrell 2015; Schildkamp et al. 2016) and the role researchers can play in this relationship is attracting more attention (Krumm et al. 2018).”
Backgroundvan den Boom-Muilenburg, S. N., Poortman, C. L., Daly, A. J., Schildkamp, K., de Vries, S., Rodway, J., & van Veen, K. (2021) · Teaching and Teacher Education · doi:10.1016/j.tate.2021.103577 · Cited by 24 · see citing works
Self-citationMerki, K. M., Wullschleger, A., & Rechsteiner, B. (2022) · Journal of Educational Change · doi:10.1007/s10833-022-09459-1 · Cited by 30 · see citing works
Wang, N., & An, B. G. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17515 · Cited by 23 · see citing works
Implementation of a collaborative data use model in a United States context
Jimerson, J. B., Garry, V., Poortman, C. L., & Schildkamp, K. (2021) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2020.100866 · Cited by 21 · see citing works
Self-citationGasse, R. V., Vanlommel, K., Vanhoof, J., & Petegem, P. V. (2017) · Teaching and Teacher Education · doi:10.1016/j.tate.2017.08.002 · Cited by 20 · see citing works
The role of teacher characteristics in an educational standards reform
Zuber, J., & Altrichter, H. (2018) · Educational Assessment Evaluation and Accountability · doi:10.1007/s11092-018-9275-7 · Cited by 18 · see citing works
“Moreover, training studies suggest that external support explaining statistical results is crucial for enhancing data use (Schildkamp et al. 2016; Vanhoof et al. 2013).”
BackgroundVanlommel, K., Van Gasse, R., Vanhoof, J., & Van Petegem, P. (2021) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2020.100865 · Cited by 18 · see citing works
Improving teacher education in the Netherlands: data team as learning team?
Bolhuis, E., Schildkamp, K., & Voogt, J. M. (2016) · European Journal of Teacher Education · doi:10.1080/02619768.2016.1171313 · Cited by 17 · see citing works
“A data team (Schildkamp and Poortman 2015) was formed consisting of teacher educators to diagnose the problem, come up with solutions and evaluate the effects.”
BackgroundMethodInfluentialSelf-citationRöhl, S. (2021) · Springer eBooks · doi:10.1007/978-3-030-75150-0_9 · Cited by 16 · see citing works
Sustaining data use professional learning communities in schools: The role of leadership practices
van den Boom-Muilenburg, S. N., Poortman, C. L., Schildkamp, K., de Vries, S., & van Veen, K. (2023) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2023.101273 · Cited by 34 · see citing works
Self-citationJarke, J., & Breiter, A. (2020) · Routledge eBooks · doi:10.4324/9780429341359 · Cited by 28 · see citing works
Classroom data collection for teachers’ data-informed practice
Saar, M., Prieto, L. P., & Rodríguez‐Triana, M. J. (2021) · Technology Pedagogy and Education · doi:10.1080/1475939x.2021.1989024 · Cited by 15 · see citing works
“Teachers regularly analyse, interpret and make decisions based on assessment data and achievement scores (Datnow & Hubbard, 2016; Hubers et al., 2016; Kaufman et al., 2014; Pierce et al., 2013; Reeves & Honig, 2015; Schildkamp et al., 2016; Supovitz, 2013).”
BackgroundA Conceptual Model for Effective Quality Management of Online and Blended Learning
Blieck, Y., Zhu, C., Schildkamp, K., Struyven, K., Pynoo, B., Poortman, C. L., & DePryck, K. (2020) · The Electronic Journal of e-Learning · doi:10.34190/ejel.20.18.2.007 · Cited by 15 · see citing works
Self-citationAlonzo, D., Quimno, V., Townend, G., & Oo, C. Z. (2024) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-024-09443-8 · Cited by 16 · see citing works
“The ability of a process or system to continue functioning effectively over a long period of time enables long-term school improvement (Schildkamp et al., 2016).”
Bolhuis, E., Voogt, J. M., & Schildkamp, K. (2018) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2018.12.002 · Cited by 14 · see citing works
Self-citationTools of the trade: a look at educators’ use of assessment systems
Farley-Ripple, E. N., Jennings, A., & Jennings, A. B. (2021) · School Effectiveness and School Improvement · doi:10.1080/09243453.2020.1777171 · Cited by 14 · see citing works
Relevant Conditions for Teachers’ Use of Student Feedback
Röhl, S., & Gärtner, H. (2021) · Springer eBooks · doi:10.1007/978-3-030-75150-0_10 · Cited by 16 · see citing works
Brown, C., Luzmore, R., O’Donovan, R., Ji, G. X., & Patnaik, S. (2024) · International Journal of Educational Management · doi:10.1108/ijem-09-2023-0447 · Cited by 14 · see citing works
There is no “T” in school improvement: the missing team perspective
Benoliel, P. S., & Berkovich, I. (2017) · International Journal of Educational Management · doi:10.1108/ijem-04-2016-0069 · Cited by 13 · see citing works
“First, structural coupling through school teams plays a significant role in identifying students’ needs by giving principals and administrators access to critical information regarding problems occurring in the classroom (Schildkamp et al., 2015).”
BackgroundHow and why teachers engage students with data
Jimerson, J. B., Cho, V., Scroggins, K. A., Balial, R., & Robinson, R. R. (2019) · Educational Studies · doi:10.1080/03055698.2018.1509781 · Cited by 13 · see citing works
Data-based decision making in primary schools in Ethiopia
Ahmed, A. Y. (2019) · Journal of Professional Capital and Community · doi:10.1108/jpcc-11-2018-0031 · Cited by 13 · see citing works
A systematic review and meta-analysis of data use professional development interventions
Ansyari, M. F., Groot, W. N. J., & Witte, K. D. (2022) · Journal of Professional Capital and Community · doi:10.1108/jpcc-09-2021-0055 · Cited by 12 · see citing works
van den Boom-Muilenburg, S. N., de Vries, S., van Veen, K., Poortman, C. L., & Schildkamp, K. (2021) · International Journal of Leadership in Education · doi:10.1080/13603124.2021.1937705 · Cited by 12 · see citing works
“A cyclical procedure consisting of eight steps is used for implementation of the data team approach (Schildkamp et al., 2016): (1) Define problem (2) Formulate hypotheses (3) Collect data (4) Check quality of data (5) Analyze data (6) Formulate interpretations and conclusions (7) Implement…”
InfluentialSelf-citationBowers, A. J., & Krumm, A. E. (2021) · Information and Learning Sciences · doi:10.1108/ils-09-2020-0212 · Cited by 12 · see citing works
Enabling educators to become more effective supporters of SRL: Commentary on a special issue
Butler, D. L. (2021) · Metacognition and Learning · doi:10.1007/s11409-021-09282-8 · Cited by 12 · see citing works
“Research on PLNs has identified benefits for educators in terms of advancing their professional learning and mobilizing knowledge in practice (e.g., Hadfield & Chapman, 2009; Schildkamp et al., 2016).”
BackgroundToward a Framework for Classifying Teachers’ Use of Assessment Data
Farley-Ripple, E. N., Jennings, A. S., & Buttram, J. (2019) · AERA Open · doi:10.1177/2332858419883571 · Cited by 12 · see citing works
“In the current policy environment, data are a primary form of evidence for educators, and data use research has employed these conceptualizations to understand school and district data use (Coburn & Talbert, 2006; Coburn, Toure, & Yamashita, 2009; Firestone & González, 2007; Marsh et al., 2015; Murnane, Sharkey, & Bou…”
Rivero-Baiocchi, R. (2019) · Estudios sobre Educación · doi:10.15581/004.37.179-198 · Cited by 12 · see citing works
“…to identify and undertake the best moral formation action in a specifi c situations through an eight stages process: problem defi nition, formulation of hypotheses, data collection, data quality check, data analysis, interpretation and conclusions, and evaluation (Schildkamp et al., 2016).”
BackgroundMethodPrincipals Using Data: An Integrative Review
Drake, T. A. (2022) · Leadership and Policy in Schools · doi:10.1080/15700763.2022.2036349 · Cited by 11 · see citing works
“…Wayman & Stringfield, 2006 Develop and facilitate school-level expertise Anderson et al., 2010; Farley-Ripple & Buttram, 2015; Marsh et al., 2006; Schildkamp et al., 2016 designing professional development (Brunner et al., 2005; Cohen-Vogel, 2011) and conducting their formal evaluations…”
BackgroundData-Driven School Improvement and Data-Literacy in K-12: Findings from a Swedish National Program
Hegestedt, R., Nouri, J., Rundquist, R., & Fors, U. (2023) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v18i15.37241 · Cited by 11 · see citing works
Teamwork doubting and doubting teamwork
Benoliel, P. S., & Schechter, C. (2018) · Improving Schools · doi:10.1177/1365480218791908 · Cited by 11 · see citing works
Andersen, I. G. (2020) · International Journal of Educational Research · doi:10.1016/j.ijer.2020.101585 · Cited by 10 · see citing works
Towards data-informed teaching practice:
Saar, M., Rodríguez‐Triana, M. J., & Prieto, L. P. (2022) · Journal of Learning Analytics · doi:10.18608/jla.2022.7505 · Cited by 10 · see citing works
“This is consistent with Schildkamp et al. (2016) and Corrin et al. (2016); however, more assistance should be provided to teachers in this respect (e.g., prompting more data variety).”
BackgroundFor squad-members only! Why some teachers are more popular to interact with than others in data use
Gasse, R. V., Goffin, E., Vanhoof, J., & Petegem, P. V. (2020) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2020.100881 · Cited by 10 · see citing works
Copp, D. T. (2017) · Education Policy Analysis Archives · doi:10.14507/epaa.25.3299 · Cited by 8 · see citing works
Implementation of Data-Based Decision-Making: Linking Research From the Special Series to Practice
Kearns, D. M., Feinberg, N. J., & Anderson, L. J. (2021) · Journal of Learning Disabilities · doi:10.1177/00222194211032403 · Cited by 8 · see citing works
“…et al. (2016), Hoogland et al. (2016), Schildkamp and Poortman (2015), and van Geel et al. (2016); on the theory of action for data use described by Schildkamp et al. (2016); and on the prerequisites for implementation of assessment for learning (a data-use approach similar to DBDM) reviewed by…”
MethodConnecting the dots: supporting the implementation of teacher design teams
Binkhorst, F. (2017) · doi:10.3990/1.9789036543798 · Cited by 8 · see citing works
Learning-Centered Leadership Practices for Effective High Schools Serving At-Risk Students
Huff, J., Preston, C., Goldring, E. B., & Guthrie, J. E. (2018) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146811812000905 · Cited by 7 · see citing works
Distinguishing aspects of sustainability
Tappel, A. P. M., Poortman, C. L., Schildkamp, K., & Visscher, A. J. (2022) · Journal of Educational Change · doi:10.1007/s10833-022-09465-3 · Cited by 7 · see citing works
“When they make high quality, data-based decisions instead of decisions based on their intuition and experience alone, that can improve the quality of teaching and learning in the classroom (Schildkamp & Lai, 2013; Schildkamp et al., 2016).”
Self-citationMarsh, J. A., & Kennedy, K. (2020) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146812012201409 · Cited by 7 · see citing works
“In addition to their beliefs about the utility of data use or their own abilities to effectively use data (Datnow & Hubbard, 2016; Schildkamp et al., 2016), educators’ pre-existing ideas about student ability can also shape how they interpret”
MethodPino-Yancovic, M., & Ahumada, L. (2022) · Perfiles Educativos · doi:10.22201/iisue.24486167e.2022.175.60049 · Cited by 7 · see citing works
Using colleague coaching to develop teacher data literacy
Edwards, F., Cowie, B., & Trask, S. (2022) · Professional Development in Education · doi:10.1080/19415257.2022.2081247 · Cited by 7 · see citing works
“2014,, OECD 2013, Swaffield 2015) and frequently school-university collaborations are referred to in the literature on data literacy PLD (Cowie Edwards and Trask 2021; Davidsdottir and Lisi 2012, Schildkamp et al .”
Study on data use in Indonesian primary schools
Abdusyakur, I., & Poortman, C. L. (2019) · Journal of Professional Capital and Community · doi:10.1108/jpcc-11-2018-0029 · Cited by 7 · see citing works
Self-citationTeachers’ Use of Assessment Data in Secondary Schools in Kenya: Opportunities and Threats
Jawuor, G. O. (2020) · Global Journal of Educational Studies · doi:10.5296/gjes.v6i1.16199 · Cited by 7 · see citing works
Tracing Cycles of Teachers’ Self- and Co-Regulated Practice within a Professional Learning Network
Butler, D. L., & Schnellert, L. (2020) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-78769-891-820201006 · Cited by 8 · see citing works
Zugelder, B. S. (2021) · Advances in educational marketing, administration, and leadership book series · doi:10.4018/978-1-7998-6500-1.ch002 · Cited by 7 · see citing works
Implementation and effects of a school-wide data-based decision making intervention
Geel, T. M. K. (2016) · doi:10.3990/1.9789036541190 · Cited by 7 · see citing works
Bhagwandhin, V., Grudnoff, L., & Meyer, F. (2025) · New Zealand Journal of Educational Studies · doi:10.1007/s40841-025-00376-4 · Cited by 6 · see citing works
“Schildkamp et al. (2016) explained that teachers should cultivate a disposition of utilising student achievement as evidence of the impact of their teaching.”
Lackéus, M., & Sävetun, C. (2023) · Entrepreneurship Education and Pedagogy · doi:10.1177/25151274231220323 · Cited by 6 · see citing works
“In general education, especially on pre-university levels, action research is quite common among teachers (Bryk et al., 2015; Kemmis et al., 2014; Schildkamp et al., 2016; Timperley, 2015).”
- Authors
- Schildkamp, K., Poortman, C. L., & Handelzalts, A.
- Affiliations
- University of Twente (NL)
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Schildkamp, Kim
- Venue
- School Effectiveness and School Improvement
- Publisher
- Informa UK Limited
- Published
- 2015-06-26
- Volume
- 27
- Issue
- 2
- Pages
- 228-254
- ISSN
- 0924-3453 (ISSN-L)
- 1744-5124
- OpenAlex
- W2179527361
- Cited by
- 171
- References
- 80
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 10 · 2023: 12 · 2022: 21 · 2021: 17 · 2020: 26 · 2019: 16 · 2018: 14 · 2017: 18 · 2016: 7 · 2015: 5 · 2014: 3 · 2013: 1 · 2012: 1
- FWCI
- 28.21
- Type
- journal article
- Language
- en
- Open access
- green
- research.utwente.nl
- Licence
- other-oa
- Locations
- School Effectiveness and School Improvement (publishedVersion)
- University of Twente Research Information (submittedVersion, other-oa)
- VU Research Portal (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
- Social Sciences › Education › Teacher Education and Leadership Studies
- Social Sciences › Education › School Leadership and Teacher Performance
- Keywords
- data teams, data-driven decision making, school improvement, professional development, teacher support, school leadership, feedback loops, educational data use
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